Uncertainty quantification in FEM simulation of human liver: sensitivity analysis, Gradient-Enhanced Kriging, and Monte Carlo simulation.

Waschinsky N, van Meegen C, Lambers L, Ickstadt K, Ricken T

Open source

DOI
10.1007/s10237-026-02084-4
Published
2026 Jul 30
Container
Biomechanics and modeling in mechanobiology
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1007/s10237-026-02084-4,
  title = {Uncertainty quantification in FEM simulation of human liver: sensitivity analysis, Gradient-Enhanced Kriging, and Monte Carlo simulation.},
  author = {Waschinsky N and van Meegen C and Lambers L and Ickstadt K and Ricken T},
  year = {2026},
  journal = {Biomechanics and modeling in mechanobiology},
  doi = {10.1007/s10237-026-02084-4},
  url = {https://doi.org/10.1007/s10237-026-02084-4}
}

RIS

TY  - JOUR
TI  - Uncertainty quantification in FEM simulation of human liver: sensitivity analysis, Gradient-Enhanced Kriging, and Monte Carlo simulation.
AU  - Waschinsky N
AU  - van Meegen C
AU  - Lambers L
AU  - Ickstadt K
AU  - Ricken T
PY  - 2026
JO  - Biomechanics and modeling in mechanobiology
DO  - 10.1007/s10237-026-02084-4
UR  - https://doi.org/10.1007/s10237-026-02084-4
ER  - 

APA

N, W., C, V. M., L, L., K, I., & T, R. (2026). Uncertainty quantification in FEM simulation of human liver: sensitivity analysis, Gradient-Enhanced Kriging, and Monte Carlo simulation.. Biomechanics and modeling in mechanobiology. https://doi.org/10.1007/s10237-026-02084-4

Source records